171 citations · 710 across the 35 of their papers we have counts for
7 papers · 1 filter
A search for late-type brown dwarfs in the Euclid Quick Data Release 1
Frank Kiwy, J. Davy Kirkpatrick, Adam C. Schneider +9
We present the identification and characterization of 15 mid-to-late T dwarf candidates in the Euclid Quick Release 1 (Q1) dataset, based on a combined photometric and spectroscopi…
Identifying and Characterizing Very Low Mass Spectral Blend Binaries with Machine Learning Methods
Juan Diego Draxl Giannoni, Malina Desai, Adam J. Burgasser +5
We present an approach to identifying and characterizing unresolved, very low mass spectral blend binaries composed of late-M, L, and T dwarfs using machine learning methodologies.…
The Hubble Ultracool Multiplicity (HUM) Survey. I. Characterizing Sensitivity to Companions at Sub-Diffraction Limit Separations with HST WFC3/IR
Kunal Mehta, Matthew De Furio, Daniella Bardalez Gagliuffi +6
We characterize the sensitivity of a double point-spread function (PSF) fitting algorithm -- employing empirical, position-dependent PSF models -- for detecting companions using th…
High Proper Motion Discoveries from the UKIRT Hemisphere Survey
Wings Zhang, Adam C. Schneider, Thomas P. Bickle +31
We used the third data release of the UKIRT Hemisphere Survey to locate previously unrecognized high proper motion objects. We identify a total of 127 new discoveries with total pr…
The NEID Earth Twin Survey. II. Dynamical Masses in Seven High-acceleration Star Systems
Mark R. Giovinazzi, Cullen H. Blake, Paul Robertson +26
We present a set of companion dynamical masses and orbital parameters of seven star systems from the NEID Earth Twin Survey with significant absolute astrometric accelerations betw…
Unveiling the Infrared Excess of SIPS J2045-6332: Evidence for a Young Stellar Object with Potential Low-Mass Companion
Michiharu Hyogo, Thomas P. Bickle, Joseph R. Biggs +20
The Disk Detective project, a citizen science initiative, aims to identify circumstellar discs around stars by detecting objects with infrared (IR) excess using data from the Wide-…